Molecular Biotechnology, Journal Year: 2024, Volume and Issue: unknown
Published: June 2, 2024
Language: Английский
Arthritis Research & Therapy, Journal Year: 2024, Volume and Issue: 26(1)
Published: Jan. 2, 2024
Abstract Background Overlapping cases of systemic lupus erythematosus (SLE) and primary biliary cirrhosis (PBC) are rare have not yet been fully proven to be accidental or a common genetic basis. Methods Two-sample bidirectional Mendelian randomization (MR) analysis was applied explore the potential causal relationship between SLE PBC. The heterogeneity reliability MR were evaluated through Cochran’s Q -test sensitivity test, respectively. Next, transcriptome overlap PBC performed using Gene Expression Omnibus database identify mechanism hub genes. Finally, based on analysis, genes validated again. Results results indicated that both high-risk factors for occurrence development other party. On one hand, had heterogeneity, it also robustness. Nine identified machine learning algorithms used verify their high recognition efficiency patients. verified there no central gene SOCS3 SLE, but factor risk Conclusion two-sample revealed each other, indicating they similar bases, which could some extent overcome limitation insufficient in case samples overlapping provided theoretical basis mechanisms therapeutic targets with cases.
Language: Английский
Citations
6
Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15
Published: April 25, 2024
Emerging evidence has shown that gut diseases can regulate the development and function of immune, metabolic, nervous systems through dynamic bidirectional communication on brain-gut axis. However, specific mechanism intestinal vascular dementia (VD) remains unclear. We designed this study especially, to further clarify connection between VD inflammatory bowel disease (IBD) from bioinformatics analyses. downloaded Gene expression profiles for (GSE122063) IBD (GSE47908, GSE179285) Expression Omnibus (GEO) database. Then individual Set Enrichment Analysis (GSEA) was used confirm two respectively. The common differentially expressed genes (coDEGs) were identified, STRING database together with Cytoscape software construct protein-protein interaction (PPI) network core functional modules. identified hub by using Cytohubba plugin. Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analysis applied identify pathways coDEGs genes. Subsequently, receiver operating characteristic (ROC) diagnostic ability these genes, a training dataset verify levels An alternative single-sample gene set (ssGSEA) algorithm analyze immune cell infiltration cells. Finally, correlation cells analyzed. screened 167 coDEGs. main articles focused function. 8 shared including PTPRC, ITGB2, CYBB, IL1B, TLR2, CASP1, IL10RA, BTK. categories mainly involved in regulation neuroinflammatory response. Compared healthy controls, abnormal found IBD. also This suggests may be new risk factor VD. predict complicated Immune-related coDEGS related their association, which requires research prove.
Language: Английский
Citations
5
Revista Mexicana de Orientación Educativa, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20
Published: Jan. 1, 2025
La experimentación con animales ha sido una herramienta fundamental en la historia del conocimiento científico y el desarrollo de medicina, sin embargo, algunos críticos siguen cuestionando su valor tachándola cruel e innecesaria argumentan que existen diferentes alternativas pueden utilizarse lugar. El objetivo este texto, es mostrar visión general importancia animal como ésta clave para cardiología. En primer lugar se da breve reseña histórica, sobre los hallazgos médicos científicos derivados uso, modelos han jugado un papel crucial comprensión las enfermedades corazón, nuevos tratamientos técnicas quirúrgicas. Se detallan regulaciones vigentes materia animal, enfatizando cumplimiento criterios éticos asegurar bienestar. Asimismo, enfatiza a pesar avances tecnológicos existentes sustituirlos imposible prescindir ellos.
Citations
0
Revista Mexicana de Orientación Educativa, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: Jan. 1, 2025
La experimentación con animales ha sido una herramienta fundamental en la historia del conocimiento científico y el desarrollo de medicina, sin embargo, algunos críticos siguen cuestionando su valor tachándola cruel e innecesaria argumentan que existen diferentes alternativas pueden utilizarse lugar. El objetivo este texto, es mostrar visión general importancia animal como ésta clave para cardiología. En primer lugar se da breve reseña histórica, sobre los hallazgos médicos científicos derivados uso, modelos han jugado un papel crucial comprensión las enfermedades corazón, nuevos tratamientos técnicas quirúrgicas. Se detallan regulaciones vigentes materia animal, enfatizando cumplimiento criterios éticos asegurar bienestar. Asimismo, enfatiza a pesar avances tecnológicos existentes sustituirlos imposible prescindir ellos.
Citations
0
Journal of Inflammation Research, Journal Year: 2023, Volume and Issue: Volume 16, P. 6241 - 6256
Published: Dec. 1, 2023
A diabetic foot ulcer (DFU) is a serious, long-term condition associated with significant risk of disability and mortality. However, research on its biomarkers still limited. This study utilizes bioinformatics machine learning methods to identify immune-related for DFU validates them through external datasets animal experiments.This used analyze microarray data from the Gene Expression Omnibus (GEO) database key genes DFU. Animal experiments were conducted validate these findings. employs GSE68183 GSE80178 retrieved GEO as training dataset building gene model, after conducting differential analysis data, this package glmnet e1071 construct LASSO SVM-RFE models, respectively. Subsequently, we validated model using set validation (GSE134431). We enrichment analysis, including GSEA GSVA, genes. also performed immune functional Finally, immunohistochemistry (IHC) genes.This identifies GSTM5 potential target in methods. Subsequent IHC confirms critical biomarker The may be T cells regulatory (Tregs) follicular helper, it influences NF-κB, GnRH, MAPK signaling pathway.This identified finding potentially provide therapy
Language: Английский
Citations
11
Biochemistry and Biophysics Reports, Journal Year: 2025, Volume and Issue: 41, P. 101911 - 101911
Published: Jan. 11, 2025
Language: Английский
Citations
0
OncoTargets and Therapy, Journal Year: 2025, Volume and Issue: Volume 18, P. 49 - 71
Published: Jan. 1, 2025
TiaoShenGongJian (TSGJ) decoction, a traditional Chinese medicine for breast cancer, has unknown active compounds, targets, and mechanisms. This study identifies TSGJ's key targets compounds cancer treatment through network pharmacology, machine learning, experimental validation. Bioactive components of TSGJ were identified from the TCMSP database, cancer-related GeneCards, PharmGkb, RNA-seq datasets. Intersection these revealed therapeutic TSGJ. PPI analysis was performed via STRING, learning methods (SVM, RF, GLM, XGBoost) validated by GSE70905, GSE70947, GSE22820, TCGA-BRCA Pathway analyses molecular docking performed. core compounds' effectiveness confirmed MTT RT-qPCR assays. 160 common identified, with 30 hub analysis. Five predictive (HIF1A, CASP8, FOS, EGFR, PPARG) screened SVM. Their diagnostic, biomarker, immune, clinical values validated. Quercetin, luteolin, baicalein as components. Molecular their strong affinities predicted targets. These modulated induced cytotoxicity in cell lines similar way reveals main against supporting its potential prevention treatment.
Language: Английский
Citations
0
Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13
Published: Feb. 21, 2025
The escalating demand for chronic disease management has presented substantial challenges to traditional methods. However, the emergence of Internet Things (IoT) and artificial intelligence (AI) technologies offers a potential resolution by facilitating more precise through data-driven strategies. This review concentrates on utilization IoT mobile sensing devices in managing major diseases such as cardiovascular diseases, cancer, respiratory diabetes. It scrutinizes their efficacy diagnosis when integrated with machine learning algorithms, ANN, SVM, RF, deep models. Through an exhaustive literature review, this study dissects how these aid risk assessment, personalized treatment planning, management. research addresses gap existing concerning application AI specific diseases. particularly demonstrates methodological novelty introducing advanced models based learning, tight frame-based methodologies real-time monitoring systems. employs rigorous examination method, which includes systematically searching relevant databases, filtering that meets inclusion exclusion criteria, adopting quality assessment tools ensure rigor selected studies. identifies biases weaknesses related data collection, algorithm selection, user interaction. platforms integrating algorithms are not only technically viable but also yield economic social advantages real-world applications. Future studies could investigate use quantum computing processing vast medical datasets novel techniques merge biosensors nanotechnology drug delivery surveillance. Furthermore, paper examines recent progress image reconstruction, emphasizing methodologies. We discuss principles, benefits, constraints methods, assessing across diverse contexts.
Language: Английский
Citations
0
Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15
Published: March 3, 2025
Purpose Type 1 diabetes mellitus (T1DM), as an autoimmune disease, can increase susceptibility to clear cell renal carcinoma (ccRCC) due its proinflammatory effects. ccRCC is characterized by subtle onset and unfavorable prognosis. Thus, the aim of this study was highlight prevention early detection opportunities in high-risk populations identifying common biomarkers for T1DM ccRCC. Methods Based on multiple publicly available datasets, WGCNA applied identify gene modules closely associated with T1DM, which were then integrated prognostic DEGs Subsequently, LASSO SVM algorithms employed shared hub genes between two diseases. Additionally, clinical samples used validate expression patterns these genes, scRNA-seq data utilized analyze types expressing explore potential mechanisms communication. Results Overall, three (KIF21A, PIGH, RPS6KA2) identified TIDM Analysis datasets revealed that KIF21A PIGH significantly downregulated PIG upregulated disease group. are mainly expressed NK T cells, PRS6KA2 endothelial epithelial MIF signaling pathway may be related genes. Conclusion Our results demonstrated pivotal roles These hold promise novel biomarkers, offering avenues preventive strategies development new precision treatment modalities.
Language: Английский
Citations
0
Cardiology Clinics, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0